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      Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis

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          Abstract

          Background

          Metabolic syndrome (MetS) is a clustering of cardiovascular risk factors, which is rising in the low and middle income countries (LMICs). There are various studies with inconsistent findings that are inconclusive for policy makers and program planners. Thus, this systematic review and meta-analysis aimed at estimating the pooled prevalence of MetS and its components in LMICs.

          Methods

          Electronic searches were conducted in international databases including PubMed, Web of Science, EMBASE (Elsevier), Scopus, CINAHL (EBSCOhost), Science direct (Elsevier), Food Science and Technology Abstracts (FSTA), Global Health and Medline, and other sources (World Cat, Google Scholar, and Google). The pooled estimates were computed in the random effect model. The pooled prevalence was computed using the three diagnostic methods (IDF, ATP III and de Ferranti). Publication bias was verified using funnel plot and Egger’s regression test. Subgroup and sensitivity analysis were performed to identify the possible sources of heterogeneity among the included studies.

          Result

          In this study, 142,142 children and adolescents from 76 eligible articles were included to compute the pooled prevalence of MetS and its components in LMCIs. MeTs among overweight and obese population was computed from 20 articles with the pooled prevalence of 24.09%, 36.5%, and 56.32% in IDF, ATP III and de Ferranti criteria, respectively. Similarly, a total of 56 articles were eligible to compute the pooled prevalence of MetS in the general population of children and adolescents. Hence, Mets was found in 3.98% (IDF), 6.71% (ATP III) and 8.91% (de Ferranti) of study subjects. Regarding the components of MetS, abdominal obesity was the major component in overweight and obese population and low HDL-C was the most common component in the general population. This study also revealed that males were highly affected by MetS than females.

          Conclusion

          This study illustrates that MetS among children and adolescents is an emerging public health challenge in LMICs, where the prevalence of obesity is on the move. Preventive strategies such as community and school based intervention need to be designed. Promoting physical activities and healthy eating behaviors could avert this problem.

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          Most cited references111

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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            Quantifying heterogeneity in a meta-analysis.

            The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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              Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data.

              There currently does not exist guidance for authors aiming to undertake systematic reviews of observational epidemiological studies, such as those reporting prevalence and incidence information. These reviews are particularly useful to measure global disease burden and changes in disease over time. The aim of this article is to provide guidance for conducting these types of reviews.
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                Author and article information

                Contributors
                zedo2015@gmail.com
                ayinalemal@gmail.com
                ermias2020@gmail.com
                abigiatenaw@gmail.com
                animut.a23@gmail.com
                teshager.kassie@gmail.com
                Journal
                Diabetol Metab Syndr
                Diabetol Metab Syndr
                Diabetology & Metabolic Syndrome
                BioMed Central (London )
                1758-5996
                27 October 2020
                27 October 2020
                2020
                : 12
                : 93
                Affiliations
                [1 ]GRID grid.460724.3, St. Paul’s Hospital Millennium Medical College, ; Addis Ababa, Ethiopia
                [2 ]Ethipian Public Health Institute, Addis Ababa, Ethiopia
                [3 ]GRID grid.192268.6, ISNI 0000 0000 8953 2273, College of Medicine and Health Sciences, , Hawassa University, ; Hawassa, Ethiopia
                [4 ]College of Health Science, Debremarkose University, Debre Markos, Ethiopia
                [5 ]GRID grid.117476.2, ISNI 0000 0004 1936 7611, Australian Centre for Public and Population Health Research, School of Public Health, Faculty of Health, , University of Technology Sydney, ; Ultimo, NSW Australia
                [6 ]GRID grid.192267.9, ISNI 0000 0001 0108 7468, College of Health and Medical Sciences, School of Nursing and Midwifery, , Haramaya University, ; Harar, Ethiopia
                Author information
                http://orcid.org/0000-0001-5695-3896
                Article
                601
                10.1186/s13098-020-00601-8
                7590497
                33117455
                7454de77-b209-491b-92d1-a20e6a1ffc2c
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 27 August 2020
                : 19 October 2020
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Nutrition & Dietetics
                metabolic syndrome,mets,components of metabolic syndrome,low and middle income countries,lmics

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